Metrics your leadership team trusts enough to act on.
What this actually involves
A dashboard nobody believes is worse than no dashboard, because it generates meetings about the numbers instead of decisions from them.
We define metrics once, in version control, with an owner and a test — then build the reporting layer on top of that single definition.
Semantic layer
One canonical definition per metric, versioned and tested.
Executive reporting
A small number of numbers that actually drive decisions.
Self-serve enablement
Documented models and training so analysts stop queuing for engineers.
Experimentation
A/B infrastructure with correct statistics and guardrail metrics.
What lands in your repository
Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.
- Versioned metric definitions
- Executive and operational dashboards
- Self-serve data models and docs
- Experimentation framework
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.